320 citations · 328 across the 2 of their papers we have counts for
12 papers
Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture using Feedback-Modulated Delay Loops
Florian Stelzer, André Röhm, Raul Vicente +2
Deep neural networks are among the most widely applied machine learning tools showing outstanding performance in a broad range of tasks. We present a method for folding a deep neur…
Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective
Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
Partial information decomposition (PID) partitions the information that a set of sources has about a target variable into synergistic, unique, and redundant contributions. This inf…
The many faces of deep learning
Raul Vicente
Deep learning has sparked a network of mutual interactions between different disciplines and AI. Naturally, each discipline focuses and interprets the workings of deep learning in…
Direct information transfer rate optimisation for SSVEP-based BCI
Anti Ingel, Ilya Kuzovkin, Raul Vicente
In this work, a classification method for SSVEP-based BCI is proposed. The classification method uses features extracted by traditional SSVEP-based BCI methods and finds optimal di…
Perspective Taking in Deep Reinforcement Learning Agents
Aqeel Labash, Jaan Aru, Tambet Matiisen +2
Perspective taking is the ability to take the point of view of another agent. This skill is not unique to humans as it is also displayed by other animals like chimpanzees. It is an…
MAXENT3D_PID: An Estimator for the Maximum-entropy Trivariate Partial Information Decomposition
Abdullah Makkeh, Daniel Chicharro, Dirk Oliver Theis +1
Chicharro (2017) introduced a procedure to determine multivariate partial information measures within the maximum entropy framework, separating unique, redundant, and synergistic c…